While R is very flexible and powerful, it is unlike most of the
computer programs you have used. In order to unlock its full
potential, this book delves into the language, making it accessible
so you can tackle even the most complex of data analysis tasks.
Simple data examples are integrated throughout so you can explore
the capabilities and versatility of R. Along the way, you'll also
learn how to carry out a range of commonly used statistical
methods, including Analysis of Variance and Linear Regression. By
the end, you'll be able to effectively and efficiently analyze your
data and present the results.

Beginning R:

Discusses how to implement some basic statistical methods such
as the t-test, correlation, and tests of association

Explains how to turn your graphs from merely adequate to simply
stunning

Provides you with the ability to define complex analytical
situations

Demonstrates ways to make and rearrange your data for easier
analysis

Covers how to carry out basic regression as well as complex
model building and curvilinear regression

Shows how to produce customized functions and simple scripts
that can automate your workflow

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